Yuriko Tachida

35 total papers · 1.3k total citations
24 papers, 1.0k citations indexed

About

Yuriko Tachida is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Yuriko Tachida has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Yuriko Tachida's work include Alzheimer's disease research and treatments (12 papers), Glycosylation and Glycoproteins Research (12 papers) and Lipid Membrane Structure and Behavior (3 papers). Yuriko Tachida is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Glycosylation and Glycoproteins Research (12 papers) and Lipid Membrane Structure and Behavior (3 papers). Yuriko Tachida collaborates with scholars based in Japan, United States and South Korea. Yuriko Tachida's co-authors include Shinobu Kitazume, Takaomi C. Saido, Ritsuko Oka, Yasuhiro Hashimoto, Keiro Shirotani, Shuichi Tsuji, Naoya Kojima, Yukiko Yoshida, Kazuko Ogawa and Naoyuki Taniguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuriko Tachida

24 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuriko Tachida 652 494 210 143 139 24 1.0k
Victor Bustos 612 0.9× 338 0.7× 212 1.0× 120 0.8× 83 0.6× 31 1.2k
Gregory Hook 537 0.8× 612 1.2× 213 1.0× 146 1.0× 50 0.4× 21 1.2k
Nazneen N. Dewji 722 1.1× 729 1.5× 262 1.2× 111 0.8× 56 0.4× 27 1.1k
Fábio A. Mendes 751 1.2× 215 0.4× 135 0.6× 89 0.6× 85 0.6× 32 1.2k
Jean Sévalle 435 0.7× 619 1.3× 130 0.6× 204 1.4× 96 0.7× 18 1.0k
Thomas B. Ladd 516 0.8× 713 1.4× 117 0.6× 228 1.6× 116 0.8× 31 1.2k
Lotta Agholme 535 0.8× 589 1.2× 166 0.8× 128 0.9× 80 0.6× 24 1.2k
Jeffrey N. Higaki 750 1.2× 348 0.7× 174 0.8× 128 0.9× 44 0.3× 32 1.2k
Sanjiv Shah 590 0.9× 652 1.3× 247 1.2× 201 1.4× 37 0.3× 16 1.0k
Satoko Osawa 628 1.0× 551 1.1× 202 1.0× 169 1.2× 29 0.2× 18 976

Countries citing papers authored by Yuriko Tachida

Since Specialization
Citations

This map shows the geographic impact of Yuriko Tachida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuriko Tachida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuriko Tachida more than expected).

Fields of papers citing papers by Yuriko Tachida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuriko Tachida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuriko Tachida. The network helps show where Yuriko Tachida may publish in the future.

Co-authorship network of co-authors of Yuriko Tachida

This figure shows the co-authorship network connecting the top 25 collaborators of Yuriko Tachida. A scholar is included among the top collaborators of Yuriko Tachida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuriko Tachida. Yuriko Tachida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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